
Finally, as for the local disambiguation model, we integrate the BERT-based entity similarity \(\Psi _{\rm BERT}(e,c)\)  with the local context score \(\Psi _{\rm long}(e,c)\)  (defined in Equation REF ) and the prior \(\hat{p}(e|m_i)\)  with two fully connected layers of 100 hidden units and ReLU non-linearities following the same feature composition methods as [1]} ganea2017deep.
\(\Psi _{\rm local}(e, m, c) &= f(\Psi _{\rm long}(e, c), \Psi _{\rm BERT}(e, c), \\ \nonumber &\log \hat{p}(e|m))\) 
